{"total":26,"rows":[{"id":"2603.15594","title":"OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data","created":"2026-03-16","cited_by_count":39,"area":"agents"},{"id":"2605.05242","title":"Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction","created":"2026-05-03","cited_by_count":38,"area":"agents"},{"id":"2602.08990","title":"InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery","created":"2026-02-09","cited_by_count":27,"area":"agents"},{"id":"2602.09892","title":"Immersion in the GitHub Universe: Scaling Coding Agents to Mastery","created":"2026-02-10","cited_by_count":22,"area":"agents"},{"id":"2603.03194","title":"BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?","created":"2026-03-03","cited_by_count":22,"area":"agents"},{"id":"2603.28376","title":"Marco DeepResearch: Unlocking Efficient Deep Research Agents via Verification-Centric Design","created":"2026-03-30","cited_by_count":16,"area":"agents"},{"id":"2605.10899","title":"RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards","created":"2026-05-11","cited_by_count":12,"area":"agents"},{"id":"2601.03743","title":"O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL","created":"2026-01-07","cited_by_count":11,"area":"agents"},{"id":"2605.24218","title":"QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks","created":"2026-05-22","cited_by_count":11,"area":"agents"},{"id":"2607.28227","title":"Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents","created":"2026-07-30","cited_by_count":11,"area":"agents"},{"id":"2512.24618","title":"Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models","created":"2025-12-31","cited_by_count":10,"area":"agents"},{"id":"2606.12191","title":"Agentic Environment Engineering for Large Language Models: A Survey of Environment Modeling, Synthesis, Evaluation, and Application","created":"2026-06-10","cited_by_count":8,"area":"agents"},{"id":"2602.07359","title":"W&D:Scaling Parallel Tool Calling for Efficient Deep Research Agents","created":"2026-02-07","cited_by_count":5,"area":"agents"},{"id":"2603.22529","title":"Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos","created":"2026-03-23","cited_by_count":5,"area":"agents"},{"id":"2604.19859","title":"DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data","created":"2026-04-21","cited_by_count":5,"area":"agents"},{"id":"2607.21461","title":"AREX: Towards a Recursively Self-Improving Agent for Deep Research","created":"2026-07-23","cited_by_count":5,"area":"agents"},{"id":"2604.04949","title":"Learning to Retrieve from Agent Trajectories","created":"2026-03-30","cited_by_count":3,"area":"agents"},{"id":"2606.02320","title":"TVIR: Building Deep Research Agents Towards Text-Visual Interleaved Report Generation","created":"2026-06-01","cited_by_count":3,"area":"agents"},{"id":"2606.13669","title":"Agents-K1: Towards Agent-native Knowledge Orchestration","created":"2026-06-11","cited_by_count":3,"area":"agents"},{"id":"2601.04879","title":"Mind2Report: Expert-Level Commercial Report Synthesis via Cognitive Deep Research Agent","created":"2026-01-08","cited_by_count":2,"area":"agents"},{"id":"2607.27853","title":"FinanceHarness: Autonomous Financial Deep Research Framework","created":"2026-07-30","cited_by_count":2,"area":"agents"},{"id":"2604.23815","title":"DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute","created":"2026-04-26","cited_by_count":1,"area":"agents"},{"id":"2608.20314","title":"MidTool: Mid-training Data Synthesis for Agentic Tool Use","created":"2026-08-20","cited_by_count":1,"area":"agents"},{"id":"2608.16386","title":"Mint-Agent: Introducing Finance-Native Agentic Foundation Models","created":"2026-08-17","cited_by_count":0,"area":"agents"},{"id":"2610.06782","title":"T-Search: An Open Agentic Retriever and Playground for Hard Multi-Step Search","created":"2026-10-05","cited_by_count":0,"area":"agents"},{"id":"2610.19103","title":"Contextual Credit Policy Optimization","created":"2026-10-13","cited_by_count":0,"area":"agents"}],"next_cursor":null}